About FinLab
FinLab was founded by Han Cheng-Yu. Since 2018, FinLab has provided quantitative research platforms, market databases, a Python SDK, backtesting engines, and AI research tools.
We believe every investor should be able to validate stock-picking ideas with data instead of guesses or hearsay. FinLab AI and FinLab Studio let users describe strategy ideas in natural language, then inspect backtest results, performance reports, and risk analysis.
Founder
A note from our founder
I started FinLab because I believe the ability to invest with data shouldn’t belong to only a few.
When I first met quantitative trading, I was shut out by walls of formulas and code too. But the first time I used a program I wrote myself to test a stock-picking idea — and watched the backtest curve appear — I understood that investing doesn’t have to be guessing or chasing tips. It can be a decision you verify, understand, and trust.
Over the years I turned everything I learned into the finlab package, my courses, and now FinLab. With AI, you don’t even need to code first — just describe your idea, and you can test it, backtest it, and see the results.
Investing was never about getting rich overnight. It’s about building a better life, step by step, on a foundation you can stand on. If you’re willing to begin, I’d be glad to walk this road with you.
— Cheng-Yu Han · Founder of FinLab
Focus Areas
- Quant strategy research and development for U.S. and Taiwan markets
- Python financial engineering and data science
- AI-driven strategy backtesting and optimization
- 900+ indicator database covering U.S. and Taiwan markets
Contact Us
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